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Capital One Logo

Senior Associate, Data Scientist - AI Software Engineering

Capital One

$133,000 - $165,600
Dec 16, 2025
McLean, VA, US
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Capital One is looking to solve the problem of unlocking big opportunities that help everyday people save money, time, and agony in their financial lives by leveraging the latest in computing and machine learning technologies and operating across billions of customer records.

Requirements

  • Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
  • Experience with clustering, classification, sentiment analysis, time series, and deep learning
  • Experience working with AWS
  • Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations
  • Demonstrated expertise in advanced model customization techniques—such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization

Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Other

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
  • Prior research and publications in AI/ML conferences
  • Innovative and creative with strong interpersonal skills
  • Ability to work in a team environment and communicate complex ideas effectively